Contextual Data Data Integration Risk 
erwin
JULY 17, 2019
EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. Socialize data – Empower stakeholders to see data in one place and in the context of their roles. And do it without the risk of breaking everything. The Right Tools.
IBM Big Data Hub
JANUARY 9, 2024
Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.
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IBM Big Data Hub
AUGUST 23, 2023
This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. It is the foundation for any AI Governance practice and is crucial in mitigating a number of enterprise risks. The problem is that these use cases require training LLMs on sensitive proprietary data.
CIO Business Intelligence
NOVEMBER 18, 2022
This type of flexible, cloud-based data management allows 3M HIS to aggregate different data sets for different purposes, ensuring both data integrity and faster processing. This is a dynamic view on data that evolves over time,” said Koll. Security by design is one of the underlying operating principles for AWS.
IBM Big Data Hub
DECEMBER 16, 2022
It also serves as a governance tool to drive compliance with data privacy and industry regulations. In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Meaningful business context.
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